Image Classification on CIFAR-10 (Nominal)
99.18AccuracyLISA-wor
Evaluation results
| Method | Links | |
|---|---|---|
| LISA-worBackbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 99.18 | |
| AdamW (full params)Backbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 99.11 | |
| SIFTBackbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 99.09 | |
| LISABackbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 98.94 | |
| GoLoreBackbone=ViT-base, Pre-trained=ImageNet-21K, Evaluation Protocol=Fine-tuning2026.03 | 98.9 |